Jan 18, 2022 · This study compares different NLP approaches, from lexical ones to semantic, deep-learning techniques, and correlates the similarity among requirements.

Recommender systems for requirements are typically built on the assumption that similar requirements can be used as proxies to retrieve similar software.

The ra- tionale of the approach is that similar requirements can be used as proxies to retrieve similar software, i.e., code that can be adapted with little ...

Feb 17, 2022 · Our work is among the first ones to explore the relationship between requirements and software similarity from a quantitative and qualitative ...

Feb 26, 2022 · The article “On the relationship between similar requirements and similar software”, written by Muhammad Abbas, Alessio Ferrari, ...

Oct 4, 2021 · The system has requirements and a design in terms hardware items and software items. Each software item has requirements and a design in terms of components/ ...

Furthermore, we show that, with the exception of the Doc2Vec case, the correlation between require- ments similarity and code similarity is moderate. This ...

Apr 12, 2021 · This study compares different state-of-the-art NLP approaches and correlates the similarity among requirements with the similarity of their source code.

Recommender systems for requirements are typically built on the assumption that similar requirements can be used as proxies to retrieve similar software.

In this paper, we describe T-ReQs, a requirements similarity tracking tool based on cosine similarity. We discuss the key features and functionalities of the ...